Please use this identifier to cite or link to this item:
Title: Robust adaptive controller design for nonlinear time-delay systems via T-S fuzzy approach
Authors: Hua, C.
Wang, Q.-G. 
Guan, X.
Keywords: Adaptive control
Exponentially stable
Takagi-Sugeno (T-S) fuzzy approach
Time-delay systems
Issue Date: 2009
Citation: Hua, C., Wang, Q.-G., Guan, X. (2009). Robust adaptive controller design for nonlinear time-delay systems via T-S fuzzy approach. IEEE Transactions on Fuzzy Systems 17 (4) : 901-910. ScholarBank@NUS Repository.
Abstract: The robust control problem is investigated for a class of uncertain nonlinear time-delay systems. Via the Takagi-Sugeno (T-S) fuzzification, we obtain the T-S fuzzy systems with each local model in the form of time-delay systems with uncertain nonlinear functions. The mismatched nonlinear functions satisfy the Lipschitz condition, while the matched parts are bounded by nonlinear functions with unknown coefficients. Based on the input matrix, the system is decomposed into two cascade subsystems. The virtual controller is designed for the first subsystem, and then, a memoryless adaptive controller is presented. By employing a new Lyapunov Krasovskii functional, we show that the resulting closed-loop system is exponentially stable and the solutions are uniformly ultimately bounded. Finally, simulation examples are given to show the effectiveness of our main results. © 2009 IEEE.
Source Title: IEEE Transactions on Fuzzy Systems
ISSN: 10636706
DOI: 10.1109/TFUZZ.2008.924351
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Mar 13, 2019


checked on Mar 13, 2019

Page view(s)

checked on Oct 20, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.